按 DevDocs/design/01 §2.1/§2.2 与 design/04 §3.2 实现(规格含联网核过的官方依据:思考内容刻意不角色化、不写分步思考指令、思考控制只走参数级)。
- 人格 schema 新增 thinking:budgetTokens / effort / showToUser(*bool,省略=nil=保持现行为,显式 false=只落库) / mode(default|on|off→Enable 三态);非法 mode/负预算 → ErrInvalidThinking(不静默)
- 5 个死字段接上注入:personality→values→speechStyle→catchphrase→background 拼为独立段落(带【】小标题,空值不拼);**全空时输出与旧实现逐字节一致**(有专门测试)
- model.Request 新增 Thinking{ BudgetTokens, Enable } 与 ReasoningEffort;新增 model/reasoning.go:厂商识别(模型名→baseURL 兜底)、取值白名单(OpenAI 系 none…max / DeepSeek low|high|max)、非法值降级+WARN、**不支持一律 WARN 而非静默**;Anthropic 映射 thinking{budget_tokens} 并**保证 budget<max_tokens**(不足时抬高 max_tokens+WARN,正是历史上思考吃光预算→空回复那个坑)
- loop:新增 Options.ThinkingShowToUser(*bool) 仅门控 thinking_* 帧(正文/工具帧不受影响);场景级 mute 语义不变
- 补一处任务清单外但必需的接线:persona→model.Request 的 thinking 映射(否则 budget/effort/mode 会变成新的死字段);showToUser 刻意不产生 Thinking(纯呈现开关)
- 管理端:personaUpsertRequest 补 thinking DTO + 校验(400);PUT 省略时**保留已存块**(防旧客户端抹配置);写侧 yaml round-trip 已验证
- Docs/api-client v0.40→v0.41(可选请求字段)
- 测试:26 个新用例(loader 解析/拼接逐字节/映射、anthropic 非流式+流式预算约束、openai 透传/降级/丢弃、Qwen 诚实 WARN、loop 门控、DTO round-trip);3 次变异验证(省略与 false 混同 / 去掉预算约束 / 短路门控 各自 FAIL)
- 验收:go build/vet/test 全绿(含 57 包)+ linux/darwin 交叉编译 + 前端 build;唯一 FAIL 是既有 flake TestInterruptCancelsTurnAndClearsPending(3/20 新代码 vs 3/20 纯 HEAD,已归因非本次引入)
391 lines
13 KiB
Go
391 lines
13 KiB
Go
package model
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"log/slog"
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"net/http"
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"strings"
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"time"
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"git.yeij.top/AskaEth/Cyrene_v2/internal/config"
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)
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// Anthropic Messages (/v1/messages) wire protocol constants.
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const (
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// anthropicAPIVersion is the Messages API version sent on every request.
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anthropicAPIVersion = "2023-06-01"
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// anthropicDefaultMaxTokens is the default max_tokens sent when
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// Request.MaxTokens is zero. Anthropic requires max_tokens to be present and
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// positive, so a sensible default is applied rather than omitting it.
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// max_tokens is shared by thinking + text, so it must leave room for both.
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anthropicDefaultMaxTokens = 8192
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// anthropicDataPrefix marks a payload embedded as a data: URI.
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anthropicDataPrefix = "data:"
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// anthropicThinkingTypeEnabled is the wire value of an enabled extended-
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// thinking directive.
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anthropicThinkingTypeEnabled = "enabled"
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)
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// anthropicThinking is the wire form of the extended-thinking directive. It is
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// omitted entirely when the caller did not ask for thinking (or asked for it to
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// be off), because Anthropic treats a missing field as "no thinking".
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type anthropicThinking struct {
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Type string `json:"type"`
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BudgetTokens int `json:"budget_tokens"`
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}
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// anthropicRequest is the body sent to /v1/messages. Messages carry Anthropic's
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// content-block model and the system prompt lives at the request root.
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type anthropicRequest struct {
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Model string `json:"model"`
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System string `json:"system,omitempty"`
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Messages []anthropicMessage `json:"messages"`
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Tools []anthropicTool `json:"tools,omitempty"`
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ToolChoice any `json:"tool_choice,omitempty"`
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Temperature *float64 `json:"temperature,omitempty"`
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MaxTokens int `json:"max_tokens"`
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Thinking *anthropicThinking `json:"thinking,omitempty"`
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Stream bool `json:"stream,omitempty"`
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}
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// anthropicMessage is one conversation turn. Content is an array of content
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// blocks (text / image for now; tool_result blocks are added by M2).
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type anthropicMessage struct {
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Role string `json:"role"`
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Content any `json:"content"`
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}
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// anthropicTool is the wire form of a tool schema.
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type anthropicTool struct {
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Name string `json:"name"`
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Description string `json:"description,omitempty"`
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InputSchema any `json:"input_schema"`
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}
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// anthropicResponse is the JSON body returned by /v1/messages.
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type anthropicResponse struct {
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ID string `json:"id"`
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Model string `json:"model"`
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Content []anthropicBlock `json:"content"`
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StopReason string `json:"stop_reason,omitempty"`
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Usage *anthropicUsage `json:"usage,omitempty"`
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}
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// anthropicBlock is a single content block in a response. For tool_use blocks the
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// Input field is a fully decoded object (never a JSON string).
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type anthropicBlock struct {
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Type string `json:"type"`
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Text string `json:"text,omitempty"`
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ID string `json:"id,omitempty"`
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Name string `json:"name,omitempty"`
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Input map[string]any `json:"input,omitempty"`
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}
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// anthropicUsage reports token consumption. Anthropic reports input_tokens and
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// output_tokens rather than a single total.
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type anthropicUsage struct {
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InputTokens int `json:"input_tokens"`
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OutputTokens int `json:"output_tokens"`
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}
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// AnthropicChatAdapter calls an Anthropic Messages (/v1/messages) endpoint. It is
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// constructed from a config.LLMConfig and implements Adapter for both
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// non-streaming and token-level SSE streaming, speaking the provider's native
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// content-block protocol so tool_use.input arrives as a structured object.
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type AnthropicChatAdapter struct {
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name string
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baseURL string
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apiKey string
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model string
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client *http.Client
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recorder Recorder
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// log reports reasoning adjustments and ignored directives. It is never nil:
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// a discard logger tagged with this adapter's source is installed when the
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// caller supplies none, so a provider decision is always traceable.
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log *slog.Logger
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}
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// AnthropicOption configures an AnthropicChatAdapter.
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type AnthropicOption func(*AnthropicChatAdapter)
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// WithAnthropicHTTPClient overrides the default HTTP client (used to inject mocks
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// or a tuned transport in tests and production).
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func WithAnthropicHTTPClient(c *http.Client) AnthropicOption {
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return func(a *AnthropicChatAdapter) { a.client = c }
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}
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// WithAnthropicRecorder wires a per-call Recorder for CallRecord accounting.
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func WithAnthropicRecorder(r Recorder) AnthropicOption {
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return func(a *AnthropicChatAdapter) { a.recorder = r }
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}
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// WithAnthropicModel overrides the adapter's default model name.
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func WithAnthropicModel(m string) AnthropicOption {
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return func(a *AnthropicChatAdapter) { a.model = m }
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}
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// WithAnthropicLogger attaches the logger used to report reasoning adjustments
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// (budget raised to fit max_tokens, ignored directives). A nil logger is ignored
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// so the discard default stays in place.
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func WithAnthropicLogger(l *slog.Logger) AnthropicOption {
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return func(a *AnthropicChatAdapter) {
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if l != nil {
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a.log = l
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}
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}
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}
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// NewAnthropicChat builds an Anthropic adapter from a supplier config. baseURL is
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// trimmed of any trailing slash before the /v1/messages path is appended.
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func NewAnthropicChat(cfg config.LLMConfig, opts ...AnthropicOption) *AnthropicChatAdapter {
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a := &AnthropicChatAdapter{
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name: "anthropic",
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baseURL: strings.TrimRight(cfg.AnthropicBaseURL, "/"),
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apiKey: cfg.AnthropicAPIKey,
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model: cfg.AnthropicModel,
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client: &http.Client{
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Transport: http.DefaultTransport,
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Timeout: defaultHTTPTimeout,
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},
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log: discardLogger("runtime/model/anthropic"),
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}
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for _, o := range opts {
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o(a)
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}
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return a
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}
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// Name returns the adapter identifier.
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func (a *AnthropicChatAdapter) Name() string { return a.name }
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// Chat performs a non-streaming completion. A response cut off by the token
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// budget with no visible output (stop_reason max_tokens and neither text nor a
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// tool_use block) is retried once with a doubled budget and, if that still
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// yields nothing, replaced by a non-empty placeholder so the caller never sees a
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// silent empty reply.
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func (a *AnthropicChatAdapter) Chat(ctx context.Context, req Request, opts Options) (Response, error) {
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start := time.Now()
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if a.baseURL == "" {
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return Response{}, ErrUpstream
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}
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ctx, cancel := withCallTimeout(ctx, opts)
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defer cancel()
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model, err := a.resolveModel(req)
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if err != nil {
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return Response{}, err
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}
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req.Model = model
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out, err := callWithTruncationRetry(req.MaxTokens, anthropicDefaultMaxTokens,
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func(limit int) (Response, error) {
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attempt := req
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attempt.MaxTokens = limit
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return a.chatOnce(ctx, attempt)
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})
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if err != nil {
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return Response{}, err
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}
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a.record(req, start, out.TotalTokens)
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return out, nil
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}
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// chatOnce performs a single non-streaming /v1/messages call and normalizes the
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// wire body into a Response.
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func (a *AnthropicChatAdapter) chatOnce(ctx context.Context, req Request) (Response, error) {
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body, err := a.buildRequest(req, false)
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if err != nil {
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return Response{}, err
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}
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, a.endpoint(), bytes.NewReader(body))
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if err != nil {
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return Response{}, fmt.Errorf("model: %w: build request: %v", ErrUpstream, err)
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}
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resp, err := a.doRequest(httpReq, false)
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if err != nil {
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return Response{}, err
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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return Response{}, a.upstreamError(resp)
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}
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var wire anthropicResponse
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if err := json.NewDecoder(resp.Body).Decode(&wire); err != nil {
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return Response{}, fmt.Errorf("model: %w: decode response: %v", ErrUpstream, err)
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}
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return responseFromAnthropicWire(&wire), nil
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}
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// ChatStream streams structured events via onEvent and returns the aggregated
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// response with usage when the provider reports it. Text blocks are delivered as
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// text_start/text_delta/text_end events; tool_use blocks are delivered as
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// tool_call_start/tool_call_delta/tool_call_end so the frontend can render each
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// segment independently. A budget-truncated empty stream is retried once with a
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// doubled budget (thinking from the retry is suppressed to avoid a duplicate
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// block) and, if still empty, closed with a non-empty placeholder text segment.
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func (a *AnthropicChatAdapter) ChatStream(ctx context.Context, req Request, onEvent func(StreamEvent)) (Response, error) {
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start := time.Now()
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if a.baseURL == "" {
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return Response{}, ErrUpstream
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}
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model, err := a.resolveModel(req)
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if err != nil {
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return Response{}, err
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}
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req.Model = model
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out, err := callStreamWithTruncationRetry(req.MaxTokens, anthropicDefaultMaxTokens,
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func(limit int, ev func(StreamEvent)) (Response, error) {
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attempt := req
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attempt.MaxTokens = limit
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return a.streamOnce(ctx, attempt, ev)
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}, onEvent)
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if err != nil {
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return Response{}, err
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}
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out.Model = model
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a.record(req, start, out.TotalTokens)
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return out, nil
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}
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// streamOnce performs a single streaming /v1/messages call and aggregates its
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// SSE events into a Response.
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func (a *AnthropicChatAdapter) streamOnce(ctx context.Context, req Request, onEvent func(StreamEvent)) (Response, error) {
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body, err := a.buildRequest(req, true)
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if err != nil {
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return Response{}, err
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}
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, a.endpoint(), bytes.NewReader(body))
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if err != nil {
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return Response{}, fmt.Errorf("model: %w: build request: %v", ErrUpstream, err)
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}
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resp, err := a.doRequest(httpReq, true)
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if err != nil {
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return Response{}, err
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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return Response{}, a.upstreamError(resp)
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}
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return scanAnthropicSSE(resp.Body, onEvent)
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}
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// resolveModel returns the effective model name.
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func (a *AnthropicChatAdapter) resolveModel(req Request) (string, error) {
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if req.Model != "" {
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return req.Model, nil
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}
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if a.model != "" {
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return a.model, nil
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}
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return "", ErrNoModel
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}
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// endpoint returns the full /v1/messages URL.
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func (a *AnthropicChatAdapter) endpoint() string {
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return a.baseURL + "/v1/messages"
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}
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func (a *AnthropicChatAdapter) buildRequest(req Request, stream bool) ([]byte, error) {
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system, msgs, err := buildAnthropicMessages(req.Messages)
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if err != nil {
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return nil, err
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}
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tokenLimit := effectiveMaxTokens(req.MaxTokens, anthropicDefaultMaxTokens)
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// Extended thinking shares max_tokens with the visible answer, so the budget
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// is resolved together with the limit it requires (design/04 §3.2 red line).
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tokenLimit, thinking := anthropicThinkingFor(req.Thinking, tokenLimit, a.log)
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wire := anthropicRequest{
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Model: req.Model,
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System: system,
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Messages: msgs,
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Tools: buildAnthropicTools(req.Tools),
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ToolChoice: req.ToolChoice,
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Temperature: req.Temperature,
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MaxTokens: tokenLimit,
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Thinking: thinking,
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Stream: stream,
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}
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buf, err := json.Marshal(wire)
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if err != nil {
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return nil, fmt.Errorf("model: %w: marshal request: %v", ErrBadRequest, err)
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}
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return buf, nil
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}
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func (a *AnthropicChatAdapter) doRequest(httpReq *http.Request, stream bool) (*http.Response, error) {
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if a.apiKey != "" {
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httpReq.Header.Set("x-api-key", a.apiKey)
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}
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httpReq.Header.Set("anthropic-version", anthropicAPIVersion)
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httpReq.Header.Set("Content-Type", "application/json")
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if stream {
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httpReq.Header.Set("Accept", "text/event-stream")
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} else {
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httpReq.Header.Set("Accept", "application/json")
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}
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resp, err := a.client.Do(httpReq)
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if err != nil {
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return nil, fmt.Errorf("model: %w: %v", ErrUpstream, err)
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}
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return resp, nil
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}
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func (a *AnthropicChatAdapter) upstreamError(resp *http.Response) error {
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snippet, _ := io.ReadAll(io.LimitReader(resp.Body, errBodyCap))
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return fmt.Errorf("model: %w: status %d: %s", ErrUpstream, resp.StatusCode, strings.TrimSpace(string(snippet)))
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}
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func (a *AnthropicChatAdapter) record(req Request, start time.Time, tokens int) {
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if a.recorder == nil {
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return
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}
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a.recorder(CallRecord{
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Model: req.Model,
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Purpose: req.Purpose,
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Tokens: tokens,
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TookMs: time.Since(start).Milliseconds(),
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})
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}
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// responseFromAnthropicWire converts a non-streaming /v1/messages response into a
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// normalized Response. Each text block contributes to the assistant content; each
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// tool_use block becomes a ToolCall whose Args is taken directly from the decoded
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// input object.
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func responseFromAnthropicWire(wire *anthropicResponse) Response {
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out := Response{Model: wire.Model}
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var b strings.Builder
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var toolCalls []ToolCall
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for _, blk := range wire.Content {
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switch blk.Type {
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case "text":
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b.WriteString(blk.Text)
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case "tool_use":
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toolCalls = append(toolCalls, ToolCall{Name: blk.Name, ID: blk.ID, Args: blk.Input})
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}
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}
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out.Content = b.String()
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out.Message = Message{Role: RoleAssistant, Content: []Content{{Type: ContentTypeText, Text: out.Content}}}
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out.ToolCalls = toolCalls
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out.StopReason = wire.StopReason
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if u := wire.Usage; u != nil {
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out.PromptTokens = u.InputTokens
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out.CompletionTokens = u.OutputTokens
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out.TotalTokens = u.InputTokens + u.OutputTokens
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}
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return out
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}
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// AnthropicToolResult builds the content block used to feed a tool result back to
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// Anthropic (role: user, first content element). toolUseID must equal the id of a
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// previous tool_use block; isError marks an execution failure.
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func AnthropicToolResult(toolUseID, content string, isError bool) map[string]any {
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return map[string]any{
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"type": "tool_result",
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"tool_use_id": toolUseID,
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"content": content,
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"is_error": isError,
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}
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}
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